Endovascular treatments of tunneled central venous catheter‐induced superior vena cava complete occlusion via through‐and‐through technique
Bibliographic record
Abstract
BACKGROUND: Superior vena cava occlusion (SVCO) induced by tunneled central venous catheter (tCVC) is an uncommon but challenging complication of hemodialysis patients. The aim of this study was to access the efficacy, safety, and patency of stents in tCVC-related SVCO via through-and-through technique. METHOD: We retrospectively identified seven patients with benign SVCO secondary to tCVC treated with endovascular approaches successfully between 1 March 2013 and 31 October 2019. Patients' demographic data, clinical signs and symptoms, and imaging data were followed up and recorded. RESULTS: Technical success was achieved in all cases. All the patients were performed with percutaneous transcatheter angioplasty (PTA) and subsequently stent placement via the through-and-through technique. During follow-up, four patients underwent secondary interventions, including PTA and/or stent placement. The primary patency after 3, 6, 9 and 12 months was 100%, 100%, 86% and 86%, and secondary patency after 12 months was 100%. No procedure-related deaths occurred. CONCLUSIONS: Endovascular management of SVCO is a safe and effective approach. CT examination can provide a direction for endovascular treatment and periodic surveillance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".